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Python

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5. Data Types


5. Data Types

The modules described in this chapter provide a variety of specialized data types such as dates and times, fixed-type arrays, heap queues, synchronized queues, and sets.

The following modules are documented in this chapter:

datetime   Basic date and time types.
calendar   Functions for working with calendars, including some emulation of the Unix cal program.
collections   High-performance datatypes
heapq   Heap queue algorithm (a.k.a. priority queue).
bisect   Array bisection algorithms for binary searching.
array   Efficient arrays of uniformly typed numeric values.
sets   Implementation of sets of unique elements.
sched   General purpose event scheduler.
mutex   Lock and queue for mutual exclusion.
Queue   A synchronized queue class.
weakref   Support for weak references and weak dictionaries.
UserDict   Class wrapper for dictionary objects.
UserList   Class wrapper for list objects.
UserString   Class wrapper for string objects.
types   Names for built-in types.
new   Interface to the creation of runtime implementation objects.
copy   Shallow and deep copy operations.
pprint   Data pretty printer.
repr   Alternate repr() implementation with size limits.

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